Triple
T8012384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Science (Purdue University) |
E186524
|
entity |
| Predicate | hasAcademicUnit |
P1488
|
FINISHED |
| Object |
Department of Computer Science (Purdue University)
The Department of Computer Science at Purdue University is a leading academic department known for its strong research and education programs in areas such as systems, security, artificial intelligence, and software engineering.
|
E707438
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Computer Science (Purdue University) | Statement: [College of Science (Purdue University), hasAcademicUnit, Department of Computer Science (Purdue University)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science (Purdue University) Context triple: [College of Science (Purdue University), hasAcademicUnit, Department of Computer Science (Purdue University)]
-
A.
Department of Computer Science (Brandeis University)
The Department of Computer Science at Brandeis University is an academic unit offering undergraduate and graduate programs focused on theoretical and applied computing, research, and interdisciplinary innovation.
-
B.
Department of Computer Sciences (University of Wisconsin–Madison)
The Department of Computer Sciences at the University of Wisconsin–Madison is a leading academic department renowned for its research and education in areas such as systems, theory, artificial intelligence, and data science.
-
C.
Department of Computer Sciences
The Department of Computer Sciences at Quaid-i-Azam University is an academic unit focused on education and research in computer science and related technologies.
-
D.
Department of Computer Science, Rutgers University
The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
-
E.
Department of Computer Science
The Department of Computer Science at Cairo University's Faculty of Science is an academic unit specializing in education and research in computing, software, and information technology.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Computer Science (Purdue University) Triple: [College of Science (Purdue University), hasAcademicUnit, Department of Computer Science (Purdue University)]
Generated description
The Department of Computer Science at Purdue University is a leading academic department known for its strong research and education programs in areas such as systems, security, artificial intelligence, and software engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science (Purdue University) Target entity description: The Department of Computer Science at Purdue University is a leading academic department known for its strong research and education programs in areas such as systems, security, artificial intelligence, and software engineering.
-
A.
Department of Computer Science (Brandeis University)
The Department of Computer Science at Brandeis University is an academic unit offering undergraduate and graduate programs focused on theoretical and applied computing, research, and interdisciplinary innovation.
-
B.
Department of Computer Sciences (University of Wisconsin–Madison)
The Department of Computer Sciences at the University of Wisconsin–Madison is a leading academic department renowned for its research and education in areas such as systems, theory, artificial intelligence, and data science.
-
C.
Department of Computer Sciences
The Department of Computer Sciences at Quaid-i-Azam University is an academic unit focused on education and research in computer science and related technologies.
-
D.
Department of Computer Science, Rutgers University
The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
-
E.
Department of Computer Science
The Department of Computer Science at Cairo University's Faculty of Science is an academic unit specializing in education and research in computing, software, and information technology.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d73bf048190ad8066a7e95c34b0 |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56acfcf88190a0e694f60f2907d2 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58a9e94081908980e2c60be38642 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cb791b48190bd5004b518d23f84 |
completed | March 31, 2026, 11:45 p.m. |
Created at: March 30, 2026, 5:19 p.m.